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A Heterogeneous RISC-V Processor for Efficient DNN Application in Smart Sensing System
Extracting features from sensing data on edge devices is a challenging application for which deep neural networks (DNN) have shown promising results. Unfortunately, the general micro-controller-class processors which are widely used in sensing system fail to achieve real-time inference. Accelerating...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511981/ https://www.ncbi.nlm.nih.gov/pubmed/34640811 http://dx.doi.org/10.3390/s21196491 |